Applied AI Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead AI/ML technical strategy for your customer accounts, from discovery through production deployment. You will lead complex architecture discussions, design scalable AI solutions such as RAG, multi-agent orchestration, guardrails, evaluation and observability, advise customer technical leaders, drive technical wins, and orchestrate cross-functional resources. Travel up to 30% is expected.
Requirements
- 6+ years in solutions architecture, technical pre-sales, or senior hands-on technical role in ML or AI engineering
- Strong Python and SQL coding proficiency
- Deep expertise in distributed data systems architecture
- Proficiency on the Databricks Platform or ability to achieve it rapidly
- Ability to lead architecture discussions with senior stakeholders
- Experience with production deployments on public cloud (AWS, Azure, or GCP)
- Track record of driving platform adoption
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline (or equivalent experience)
- Willingness to travel up to 30%
Responsibilities
- Own the end-to-end AI/ML technical strategy for your accounts
- Lead complex architecture discussions and design production-grade AI/ML solutions
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios
- Develop an emerging technical specialization
- Orchestrate cross-functional resources to deliver solutions
- Provide structured feedback to influence product direction
Benefits
- Annual performance bonus eligibility
- Equity eligibility